DIGITAL BUILDING OPERATING SYSTEM WITH AUTOMATED BUILDING AND ELECTRIC GRID MONITORING, FORECASTING, AND ALARM SYSTEMS

• US 20140163759A1
• Filed: 12/20/2013
• Published: 06/12/2014
• Est. Priority Date: 10/30/2009
• Status: Abandoned Application

• Current Assignee: Trustees Of Columbia University In The City Of New York (Columbia University), Rudin Management Co. Inc.
• Original Assignee: Trustees Of Columbia University In The City Of New York (Columbia University)
• Inventors: ANDERSON, Roger N., KRESSNER, Arthur A., GILBERT, John J. III, BONIBERGER, Eugene M.
• Application Number:
  US14/137,381
• Publication Number:
  US 20140163759A1
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00002 characterised by monitoring
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00017 using optical fiber
• CPC Class Codes: H02J 13/00034 the elements or equipment being or involving an electric power substation
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02B 90/20 Smart grids as enabling technology in buildings sector smart grids supporting the management or operation of end-user stationary applications in general, or like technologies with no associated climate change mitigation effect Y04S20/00
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/30 State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/242 Home appliances
• CPC Class Codes: Y04S 40/124 using wired telecommunication networks or data transmission busses

Abstract

A system and method for monitoring status of an electrical grid and one or more building subsystems. The system includes sensors in communication with an electrical grid, buildings that provide data related to the building subsystems, and a digital building operating system that includes a processor that performs instructions to process the data, identify the status of the electrical grid and the building subsystem, predict one or more events based on the data, and provide recommendations to the buildings such as how to prevent the bad event.

Claims

1. A system for monitoring status of an electrical grid and one or more building subsystems, the system comprising:

one or more sensors in communication with the electrical power grid, adapted to provide data;

one or more buildings, adapted to provide data related to the one or more building subsystems;

a digital building operating system, adapted to receive data from the one or more sensors and the one or more buildings, the digital building operating system further comprising;

one or more processors, each coupled to and having respective communication interfaces to receive data, the one or more processors executing computer-readable instructions that, when executed by the processor, cause the one or more processors to perform;

processing the data from the electrical grid and the one or more buildings;

identifying status of the electrical grid and the one or more building subsystems based on the data;

predicting one or more events based on the data; and

providing

(i) one or more instructions to the one or more buildings based on the status of the electrical grid and the one or more building subsystems and

(ii) the prediction of the one or more events.

2. The system of claim 1, wherein the one or more sensors are low-voltage end-user side of a secondary distribution network.

3. The system of claim 1, wherein the data includes one or more of frequency, phase angle, and voltage.

4. The system of claim 1, wherein the data is representative of geographically distributed customers in one or more locations.

5. The system of claim 1, wherein the predicting of the one or more events further comprises one or more of instability of the electrical grid, blackout, power failures, and blackouts or low voltage and frequency brownouts.

6. The system of claim 5, wherein the predicting of the one or more events further comprises identifying the location of the grid instability.

7. The system of claim 6, wherein the system identifies the location of the grid instability using one or more triangulation techniques.

8. The system of claim 1, wherein the system uses mathematical and statistical techniques such as machine learning and adaptive stochastic control.

9. The system of claim 1, wherein the digital building operating system is comprised to provide one or more actions based on the status of the electrical grid.

10. The system of claim 1, wherein the instructions further cause the processor to perform:

monitoring the status of the one or more buildings;

identifying one or more events in the the one more buildings;

determining if the event is related to the electrical grid or the one or more buildings; and

providing instructions to the one or more building based on the determination.

11. The system of claim 1, wherein the instructions include one or more of shutting down the elevator of the one or more buildings, adjusting lighting, keeping elevator doors open, modulating HVAC to reduce consumption.

12. A method for monitoring status of an electrical grid and one or more building subsystems, the method comprising:

receiving data from one or more sensors in communication with the electrical grid and one or more buildings;

processing the data from the electrical grid and the one or more buildings;

identifying status of the electrical grid and the one or more building subsystems based on the data;

predicting one or more events based on the data; and

providing

(i) instructions to the one or more buildings based on the status of the electrical grid and the one or more building subsystems and

(ii) the prediction of the one or more events.

13. The method of claim 12, further comprising predicting if the electrical grid is unstable based on the data from the one or more sensors.

14. The method of claim 13, further comprising predicting whether the outcome of the grid instability is one or more of a brown out, a power outage, or a momentary service outage.

15. The method of claim 13, further comprising using cost and benefits to determine whether to take one or more actions.

16. The method of claim 13, further comprising the location of the grid instability using one or more triangulation techniques.

17. The method of claim 12, further comprising identifying if a instability of the grid is due to the electrical grid or the one or more buildings.

18. The method of claim 12, further comprising generating a metric representative of prediction that identified status of the electrical grid is about to result in imminent power failure.

19. The method of claim 12, wherein the data includes one or more of frequency, phase angle, and voltage.

20. The method of claim 12, further comprising mathematical and statistical techniques such as machine learning and adaptive stochastic control to determine the status of the grid.

21. The method of claim 12, further comprising performing one or more actions based on the status of the electrical grid.

22. The method of claim 12, further comprising communicating with a building digital building operating system.

23. A system for monitoring status of an electrical grid and one or more building subsystems, the system comprising:

the one or more of building subsystems of one or more buildings, each of the one or more building subsystems having an associated control system;

at least one relational database, said database having data related to a building;

a display;

a controller operably coupled to and in communication with the one or more building subsystems, the at least one relational database and the display, the controller having a processor responsive to executable computer instructions when executed on the processor for;

monitoring the status of the electrical grid and the one or more building subsystems based on data from the one or more building subsystems and said at least one relational database;

predicting one or more events based on data from the one or more building subsystems and the at least one relational database;

providing instructions based on the monitoring of the status of the electrical grid and the one or more building subsystems and the prediction of one or more events; and

displaying a graphical representation on the display indicating one or more of a consumption level of energy of at least one of the one or more building subsystems, and a status of one of the one or more building subsystems.

24. The system of claim 23, wherein the display enables remote monitoring of the one or more building subsystems.

25. The system of claim 23, wherein the system further monitors one or more of (i) space temperatures, (ii) building management systems, (iii) heating, ventilatiion, and air conditions, and (iv) fire and occupancy tracking control systems of the one or more buildings.

26. The system of claim 23, wherein the one or more buildings comprises one or more sensors to provide the data related to the building.

27. The system of claim 23, wherein the one or more events relates to power quality.

28. The system of claim 23, wherein the system further predicts whether the outcome of the grid instability is one or more of a brown out, a power outage, a variation in power quality, phase angle, or a momentary service outage.